Skills
Retrieval-Augmented Generation Engineering 95%About me
Passionate about data science, Throughout my academic journey at the University of Jordan, I have actively engaged in various projects, gaining hands-on experience in data-driven decision-making and problem-solving. These experiences have fostered my ability to extract valuable insights from complex datasets, driving informed business strategies.
Driven by a thirst for knowledge, I am particularly enthusiastic about exploring the realms of artificial intelligence and big data. I believe that the combination of these fields holds immense potential for transforming industries and enhancing human lives.
As a data scientist, I strive to constantly expand my skill set and stay abreast of the latest developments in the industry. I am excited about the opportunities that lie ahead and look forward to leveraging my expertise to tackle challenging problems, contribute to cutting-edge projects, and make a positive impact through data-driven innovation.
Services
I offer a variety of services, including:
Designing and developing AI Systems and Solutions
I can design and develop AI systems that can solve real-world problems using my knowledge of machine learning, data science, and software engineering.
Risk assessment
I can use data to assess the risk of various events, such as the likelihood of a customer defaulting on a loan or any other risks. This can help businesses to make better decisions about how to allocate their resources.
Data Analysis & Visualization
I can help you collect, clean, and analyze your data to identify patterns and trends using machine learning and statistical techniques to build models that can predict future events or outcomes, and create visualizations of your data.
Customer segmentation
I can help your business by segmenting the customers into groups based on their demographics, behavior, or other characteristics. This can help businesses to target their marketing campaigns more effectively and improve customer's experience.
Data Collecting and Cleaning
I can help you collect, clean, and analyze your data to identify patterns and trends, use machine learning and statistical techniques to build models that can predict future events or outcomes. , make informed decisions by providing you insights from your data.
Product development
I can help businesses develop new products and services by identifying customer needs and trends. They can also help businesses to test and improve their products and services and keep tracking them to remain up-to-date.
Projects
All of these projects and much more are available as open source on my GitHub.
" "
" "
certificates
You can view all my certificates here, but these are my top certificates.
Machine Learning
Machine Learning Specialization by Andrew Ng on DeepLearning.AI
The specialization "Machine Learning Introduction" on Coursera offers a comprehensive introduction to the fundamental concepts and techniques of machine learning. Participants learn about various algorithms, data preprocessing, model evaluation, and deployment of machine learning models. Through hands-on programming assignments and projects, learners gain practical experience in implementing machine learning algorithms and solving real-world problems.
Machine Learning - Practical
Advanced Machine Learning & Data Analysis Course by SHAI
The "Practical Machine Learning and Data Analysis" course, offered by SHAI, offers a practical and immersive learning experience in the fields of machine learning and data analysis. Participants gain hands-on training in applying algorithms, preprocessing data, and interpreting results. With a focus on real-world applications, this course equips learners with valuable skills to effectively address and solve challenges in machine learning and data analysis domains.
Data Analysis
Data Analysis Course by IBM on Coursera
The course "Introduction to Data Analytics" on Coursera, part of the IBM Data Analyst specialization, provides a comprehensive introduction to data analysis techniques. Learners gain essential skills in data manipulation, data visualization, and statistical analysis. Through hands-on exercises and real-world examples, participants develop a solid foundation in data analytics, enabling them to extract valuable insights from data sets and make informed business decisions.